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Is It Possible to Visualise Any Stock Flow Consistent Model as a Directed Acyclic Graph?

Author

Listed:
  • Peter G. Fennell

    (University of Limerick)

  • David J. P. O’Sullivan

    (University of Limerick)

  • Antoine Godin

    (University of Limerick)

  • Stephen Kinsella

    (University of Limerick)

Abstract

Yes it is. We rigorously demonstrate the equivalence of any stock flow consistent (SFC) model to a directed acyclic graph (DAG) using condensation graphs. The equivalence between stock flow models and DAGs is useful both for visualising large-scale macroeconomic models of this type and for inferring causality within these models. We developed a new package to build and simulate any SFC model and generate the corresponding DAGs, and we provide an example of this package using a well known model from the literature.

Suggested Citation

  • Peter G. Fennell & David J. P. O’Sullivan & Antoine Godin & Stephen Kinsella, 2016. "Is It Possible to Visualise Any Stock Flow Consistent Model as a Directed Acyclic Graph?," Computational Economics, Springer;Society for Computational Economics, vol. 48(2), pages 307-316, August.
    • Handle: RePEc:kap:compec:v:48:y:2016:i:2:d:10.1007_s10614-015-9521-8
    DOI: 10.1007/s10614-015-9521-8
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    References listed on IDEAS

    as
    1. Eugenio Caverzasi & Antoine Godin, 2015. "Post-Keynesian stock-flow-consistent modelling: a survey," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 39(1), pages 157-187.
    2. Tobin, James, 1982. "Money and Finance in the Macroeconomic Process," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 14(2), pages 171-204, May.
    3. Hoover,Kevin D., 2001. "Causality in Macroeconomics," Cambridge Books, Cambridge University Press, number 9780521002882.
    4. Alessio Moneta & Doris Entner & Patrik O. Hoyer & Alex Coad, 2013. "Causal Inference by Independent Component Analysis: Theory and Applications," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(5), pages 705-730, October.
    5. Claudio H. Dos Santos & Gennaro Zezza, 2008. "A Simplified, ‘Benchmark’, Stock‐Flow Consistent Post‐Keynesian Growth Model," Metroeconomica, Wiley Blackwell, vol. 59(3), pages 441-478, July.
    6. David A Bessler & Jian Yang & Metha Wongcharupan, 2003. "Price Dynamics in the International Wheat Market: Modeling with Error Correction and Directed Acyclic Graphs," Journal of Regional Science, Wiley Blackwell, vol. 43(1), pages 1-33, February.
    7. Godley, Wynne, 1999. "Money and Credit in a Keynesian Model of Income Determination," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 23(4), pages 393-411, July.
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    2. Michail Tsagris, 2021. "A New Scalable Bayesian Network Learning Algorithm with Applications to Economics," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 341-367, January.

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    More about this item

    Keywords

    Stock flow consistent models; Directed graphs; Macroeconomic modeling;
    All these keywords.

    JEL classification:

    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • E12 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Keynes; Keynesian; Post-Keynesian; Modern Monetary Theory
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications

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